Steven Lyubomirsky

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Steven Lyubomirsky trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kaiming He
  2. Adam Paszke
  3. Sepp Hochreiter
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Atilim Gunes Baydin
  7. Yann LeCun
  8. Yoshua Bengio
  9. J. Urgen Schmidhuber
  10. X. Zhang

Who trusts Steven Lyubomirsky overall

  1. Shishir G. Patil

Papers from Steven Lyubomirsky's perspective

Ordered by how strongly the researchers Steven Lyubomirsky trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers